{"id":"W2610129421","doi":"10.5539/gjhs.v9n7p150","title":"Analysis of Factors Affecting Quality of Life of Workers in Korea Participating in Leisure Activities Using Quantile Regression","year":2017,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Health and Wellbeing Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantile regression; Quality of life (healthcare); Social support; Medicine; Gerontology; Regression analysis; Intervention (counseling); Quantile; Psychology; Statistics; Psychiatry; Social psychology; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001718682,0.0003452173,0.0003144691,0.0008041426,0.0002512148,0.0004778416,0.0003180547,0.0001744395,0.002061408],"category_scores_gemma":[0.004233368,0.000146983,0.0008218419,0.0009718626,0.000172638,0.0003362318,0.0004677793,0.0004152811,0.0002747364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223246,"about_ca_system_score_gemma":0.0003636665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004858704,"about_ca_topic_score_gemma":0.004408049,"domain_scores_codex":[0.9993463,0.0002517143,0.00006716219,0.0001223488,0.0001139825,0.0000984061],"domain_scores_gemma":[0.997722,0.0007483534,0.0008827233,0.0001526014,0.000327579,0.0001667573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006927492,0.00004509654,0.9897847,0.00004169034,0.0001097951,0.00002656702,0.0001337547,0.0004709502,0.0002137023,0.00003331279,0.0001372802,0.008933929],"study_design_scores_gemma":[0.000002628201,0.00006598045,0.9969966,0.00001559409,0.00003065214,0.00003716518,0.0002695392,0.002179249,0.0001307698,0.00005787417,0.0002080979,0.000005816047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954937,0.0002861011,0.002862556,0.0001089898,0.000007002698,0.00002559439,0.000858027,0.00001573278,0.000342233],"genre_scores_gemma":[0.9987577,0.00006787176,0.0005504635,0.00001094389,0.000003775351,0.00002198352,0.0004896447,0.000002277161,0.00009530456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004858704,"threshold_uncertainty_score":0.00966084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2871560407878708,"score_gpt":0.5882007512286529,"score_spread":0.3010447104407821,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}